US8186950B2 - Aerodynamic device for detection of wind turbine blade operation - Google Patents
Aerodynamic device for detection of wind turbine blade operation Download PDFInfo
- Publication number
- US8186950B2 US8186950B2 US12/342,599 US34259908A US8186950B2 US 8186950 B2 US8186950 B2 US 8186950B2 US 34259908 A US34259908 A US 34259908A US 8186950 B2 US8186950 B2 US 8186950B2
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- United States
- Prior art keywords
- blade
- wind turbine
- housing
- physical condition
- vibration
- Prior art date
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- Expired - Fee Related, expires
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
- F03D80/40—Ice detection; De-icing means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2220/00—Application
- F05B2220/70—Application in combination with
- F05B2220/709—Piezoelectric means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/96—Preventing, counteracting or reducing vibration or noise
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/334—Vibration measurements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
- F05B2270/807—Accelerometers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Definitions
- the invention relates generally to wind turbine blade operation and more specifically to an aerodynamic device for detection of wind turbine blade operation.
- a wind turbine includes a rotor having multiple blades.
- the rotor is mounted within a housing or nacelle, which is positioned on top of a truss or tubular tower.
- Utility grade wind turbines i.e., wind turbines designed to provide electrical power to a utility grid
- the gearbox steps up the inherently low rotational speed of the turbine rotor for the generator to efficiently convert mechanical energy to electrical energy, which is fed into a utility grid.
- Ice buildup typically occurs on the leading edge of the airfoil and causes a reduced lifting capability.
- weight is added to the airfoil so that the lifting airfoil surface becomes modified.
- this modification can result in diminished aerodynamic rotor blade performance. This reduced performance can directly result in increased system loads and/or lost power output.
- a motion of a wind turbine blade with respect to the wind divides an airflow between the pressure side and the suction side.
- the airfoil shape of the wind turbine blade causes faster flow over the suction side than the pressure side resulting lower pressure on the suction side than the on the pressure side, creating a net force on the blade resulting in motion of the blade (comparable to lift for an airplane wing).
- the angle of attack of the blade with respect to the wind becomes too great, all of a sudden the airflow on the upper surface stops sticking to the surface of the wing. Instead the air whirls around in an irregular vortex (a condition which is also known as turbulence). Lift from the low pressure on the upper surface of the wing quickly disappears. This phenomenon is known as stall.
- Stall may occur on different parts of the blade at different times based on the localized conditions. However, stall results in lower blade performance and consequently a lower power being generated by the wind turbine. If stall conditions occur over an increasingly greater portion of the blade, wind turbine power output will progressively degrade.
- the present invention relates to a device and method for monitoring operating conditions of a wind turbine blade and determining when a physical condition exists.
- a wind turbine includes a rotor having at least one blade.
- One or more vibration sensors are mounted on the blades and configured to monitor a physical condition of the blades that varies in accordance with a vibration of an component of the blade.
- a processor is operably coupled to the one or more vibration sensors. The processor may be configured to use the vibration frequency of the component of the blade to determine the physical condition of the blade, and generate a signal indicating the physical condition of the blade when determined.
- a method for detecting a physical condition of a wind turbine blade of a wind turbine rotor, having one or more rotor blades.
- the method includes monitoring at least one physical condition of the wind turbine in operation that varies in accordance with a vibration of a component of the blade.
- a vibration frequency of one or more vibration sensors mounted to the component of the blade is monitored.
- the method includes determining by a processor, the physical condition of the blade according to the vibration frequency of one or more vibration sensors mounted to the component of the blade. If the physical condition is determined to exist, then a signal is provided.
- FIG. 1 is an illustration of an exemplary configuration for a wind turbine
- FIG. 2A illustrates a blade profile with areas identified for advantageous placement of aerodynamic devices with vibrations sensors for monitoring of icing conditions and stall conditions;
- FIG. 2B illustrates a blade surface with areas identified for advantageous placement of aerodynamic devices with vibrations sensors for monitoring icing conditions and of stall conditions;
- FIG. 3A illustrates an example of an aerodynamic device with embedded accelerometer on a blade surface in the presence of a wind flow
- FIG. 3B illustrates a mounting of a piezoelectric sensor within an aerodynamic device on a blade surface in presence of a wind flow
- FIG. 4 illustrates an arrangement of the aerodynamic device mounted on an airfoil
- FIG. 5 is a block diagram of one embodiment of a wind turbine controller
- FIG. 6 provides a flow chart of an embodiment of a method for detecting a physical condition of a wind turbine blade according to vibration monitoring of aerodynamic devices advantageously positioned on the blade.
- the following embodiments of the present invention have many advantages, including providing early warning of physical conditions of a wind turbine blade condition that may lead to impaired performance of the wind turbine blade and reduced power output from the wind turbine.
- the warning may be provided to a wind turbine control system allowing system controls or an operator to take action to correct the impaired performance of the blade and restore expected power output for the wind condition.
- detection of blade icing and blade stall conditions may be identified, allowing for correction.
- a physical or meteorological parameter is “monitored” when a sensor is used to determine its present value.
- the broader term “monitored” is used rather than the narrower term “measured” to emphasize that the sensor may but need not necessarily provide a direct measurement of the parameter being monitored.
- an anemometer used as a meteorological sensor may generate an analog signal relating to the present wind speed, but the analog signal is not an actual measurement of the wind speed. Nevertheless, this signal or a digital representation of the signal can be used to determine wind speed, or a design choice may be made to use the signal, its digital representation, or its representation with further processing as a proxy for wind speed.
- meteorological sensor refers to a sensor of a meteorological condition.
- meteorological conditions include, for example, air pressure, wind speed and direction, humidity, temperature, and precipitation and precipitation type. All of the example meteorological conditions are meteorological conditions relating to icing.
- meteorological conditions relating to icing includes temperature and humidity sensors.
- blade root or “blade root section” refers to the inboard portion of a rotor blade.
- a wind turbine 100 comprises a nacelle 102 housing a generator (not shown in FIG. 1 ). Nacelle 102 is mounted atop a tall tower 104 , only a portion of which is shown in FIG. 1 .
- Wind turbine 100 also comprises a rotor 106 that includes one or more rotor blades 108 attached to a rotating hub 110 .
- wind turbine 100 includes three rotor blades 108 , there are no specific limits on the number of rotor blades 108 required by the present invention.
- the nacelle 102 may also house meteorological sensors 109 for determining ambient conditions, such as wind speed, wind direction, ambient temperature, etc., related to a meteorological condition of the wind turbine blade.
- various embodiments of the present invention monitor vibration related to one or more physical conditions of a wind turbine blade in operation.
- the monitored vibration may indicate that one or more physical conditions exist for the blade.
- the meteorological sensors may further be used to monitor ambient conditions requisite for the one or more physical conditions of the blade to exist. Therefore, the monitored meteorological conditions may be used in conjunction with the monitored vibration to confirm the occurrence of the physical condition of the blade.
- Such physical conditions of the blade being monitored may include blade icing and blade stall.
- Signals from the vibration sensors and from the meteorological sensors may be transmitted to a processor of the control system for the wind turbine for a determination of the existence of the physical condition of the blade.
- Communication between the vibration sensors and the meteorological sensors with the processor of the control system may be by known wired or wireless communications methods.
- the processor may employ a logic process to determine the existence of the physical condition and may issue warning and alarm signals to an operator or to the control system to provide for correction of the physical condition.
- physical condition detection logic for the physical condition and/or physical condition logic is disabled if monitored meteorological parameter signals from meteorological sensors 109 indicate that the physical condition is improbable.
- each blade operates are identical, but there is no guarantee that the resulting physical condition will manifest itself on each blade uniformly or identically.
- each different physical condition may develop preferentially on some portion or section of the blade, such as surface area 112 ( FIG. 1 ).
- icing on a blade may occur preferentially on a leading edge and at a tip end. Stall may be experienced initially at a root section of the blade and at about 25% to 30% along a chord length of the blade. Therefore, early detection of the physical condition may be enhanced by advantageous placement of vibration sensors at locations of early incidence of the physical condition.
- the sensor may preferentially be placed on a leading edge and at a tip end.
- FIG. 2A illustrates a blade profile with areas identified for advantageous placement of aerodynamic devices with vibrations sensors for monitoring of icing conditions 150 and stall conditions 160 .
- FIG. 2B illustrates a blade surface with areas identified for advantageous placement of aerodynamic devices with vibrations sensors for monitoring icing conditions 170 and of stall conditions 180 .
- aerodynamic devices may be installed at other locations on a blade for determining the occurrence of the physical conditions at those locations.
- Vibration sensors may include accelerometers and piezoelectric devices. Vibrations sensors must be selected to provide satisfactory operation for environmental conditions of the wind turbine blade during operation, including temperatures as low as ⁇ 40 degrees centigrade. The dimensions of the vibrations sensors are chosen to be small enough so when built into a housing do not adversely impact aerodynamic conditions of the blade. With the present state of technology, accelerometers may are as small as 4 ⁇ 4 ⁇ 1.5 mm. Output from the vibrations sensors may be transmitted to a processor through wired connections or wireless connection as known in the art. Further, for accelerometers and other like kinds of instrumentation, batteries may be provided locally with device. Further, the devices and the batteries may be arranged to permit replacement.
- Housing for the vibration sensors on the blade surface should preferentially include aerodynamic housings.
- the housings may include existing structures on the surface of the blade but may also include specially provided structures that limit any impact on the aerodynamic performance of the blade.
- the existing structures may be preferentially utilized providing they are positioned on locations of the blade suitable for detection and preferentially early detection of the physical condition of the blade.
- vortex generators on the blade surface may be utilized to house the vibration sensors.
- the use of vortex generators on wind turbine blades is known to counteract flow separation and stall on blades.
- Such existing structures may be used to house vibration sensors.
- FIG. 3A illustrates an example of an aerodynamic device 130 , such as a vortex generator, with embedded accelerometer 135 on a blade surface 120 in the presence of a wind flow 125 .
- FIG. 3B illustrates a mounting of a piezoelectric sensor 140 within an aerodynamic device 130 on a blade surface 120 in presence of a wind flow 125 .
- FIG. 4 illustrates an arrangement of the aerodynamic device 210 mounted on an airfoil 220 .
- An incident airstream 230 impinges on the airfoil 220 .
- the incident airstream 230 flows around the upper surface 240 and the lower surfaces 245 of the airfoil 220 .
- the airfoil 220 is shown at stall, with a smooth airflow 250 along the lower surface 240 , but a flow separation 255 creating a wake 260 above the upper surface 240 . Turbulent air created by the stall.
- a principle of operation is that this device is normally vibrating while the wind turbine is in operation. A lowering of the frequency of the vibration or no vibration indicates the presence of ice on the aerodynamic device.
- the processor for the wind turbine controller may store data with respect to normal range of vibration during wind turbine operation.
- data may include the range of vibration base on important wind turbine parameters such as speed of blade rotation, pitch angle and wind conditions. These parameters and other important operational parameters are monitored during wind turbine operation and are available to the processor.
- the processor may determine that an icing condition exists for the blade. Further, the processor may consider the meteorological data, specifically ambient temperature as a further determination as to whether blade ice conditions may exist. For example, it would be expected that ice would form on the blade with ambient temperature below 0 degrees centigrade.
- Such a vibration monitoring for a small aerodynamic device on the blade advantageously located for determination of an icing condition offers a more sensitive determination of incipient blade icing than sensing vibration for the blade as a whole as a determinant of icing condition. In the latter case, a substantially greater mass of ice would need to be formed before a vibration response for the blade as a whole would discern such a condition.
- a rise in frequency of vibration may indicate stall conditions at the aerodynamic device location on the blade, as a turbulence of air created by the stall condition increases the vibration of the aerodynamic device and hence the vibration of the sensor therein.
- the processor for the wind turbine controller may store data with respect to normal range of vibration during wind turbine operation. Such data may include the range of vibration base on important wind parameters such as speed of blade rotation, pitch angle and wind conditions. These parameters and other important operational parameters are monitored during wind turbine operation and are available to the processor.
- the processor may determine that a stall condition exists for the blade. Such increased frequency of vibration may be caused by air turbulence of the blade caused by the stall condition.
- a turbine controller 300 includes a bus 302 or other communications device to communicate information.
- Processor(s) 304 are coupled to bus 302 to process information, including information from various sensors (for example, sensors 112 , 135 , and 140 ) to determine whether a physical condition is present.
- Turbine controller 300 further includes random access memory (RAM) 306 and/or other storage device(s) 308 .
- RAM 306 and storage device(s) 308 are coupled to bus 302 to store and transfer information and instructions to be executed by processor(s) 304 .
- RAM 306 (and also storage device(s) 308 , if required) can also be used to store temporary variables or other intermediate information during execution of instructions by processor(s) 304 .
- Turbine controller 300 can also include read only memory (ROM) and or other static storage device 310 , which is coupled to bus 302 to store and provide static (i.e., non-changing) information and instructions to processor(s) 304 .
- Input device(s) at 312 can include any of the physical condition monitoring devices described herein or known in the art to provide input data to turbine controller 300 .
- Output devices at 312 can include devices that provide visual and/or audible indications to an operator console (also not shown in FIG. 8 ), or to an automatic apparatus that acts on or relays such information.
- Instructions are provided to memory from a storage device, such as magnetic disk, a read-only memory (ROM) integrated circuit, CD-ROM, DVD, via a remote connection that is either wired or wireless providing access to one or more electronically-accessible media, etc.
- a storage device such as magnetic disk, a read-only memory (ROM) integrated circuit, CD-ROM, DVD, via a remote connection that is either wired or wireless providing access to one or more electronically-accessible media, etc.
- ROM read-only memory
- DVD digital versatile discs
- ROM read-only memory
- hard-wired circuitry can be used in place of or in combination with software instructions.
- execution of sequences of instructions is not limited to any specific combination of hardware circuitry and software instructions.
- Sensor interface 314 is an interface that allows turbine controller 300 to communicate with one or more sensors within a wind turbine, including sensors used for determination of vibration and other sensors related to wind turbine operation such as blade rotational speed, pitch angle and wind conditions.
- Sensor interface 314 can be or can comprise, for example, one or more analog-to-digital converters that convert analog signals into digital signals that can be used by processor(s) 304 .
- the controller may provide a response to correct the condition.
- the control system may initiate corrective action including: at least one of oscillating a pitch of the at least one blade; changing a rotational speed of the wind turbine; shutting down and starting up the wind turbine; and reducing power of the wind turbine. If a heating device is installed in the blades, the control can switch on or off the heating devices.
- the control system may initiate corrective action including: at least one of pitching one or more blades towards feather and/or modifying rotational speed.
- FIG. 6 provides a flow chart of an embodiment of a method for detecting a physical condition of a wind turbine blade according to vibration monitoring of aerodynamic devices advantageously positioned on the blade.
- vibration sensors are provided within aerodynamic devices positioned advantageously on blade surfaces for identifying various physical conditions of the blade.
- data provided through operating test information and computer analysis to identify a range of vibration for aerodynamic devices mounted on blade for normal operating conditions and abnormal operating conditions is stored in a processor or like instrument of the control system for the wind turbine.
- the wind turbine is operated in step 415 .
- Vibration sensors are monitored during the wind turbine operation in step 420 .
- meteorological data is monitored during wind turbine operation.
- the data from vibration sensors and meteorological sensors is processed and analyzed in step 430 . If vibration data fall outside the normal range associated with a physical condition in step 435 , a determination may be made that a physical condition exists. Based on this determination of the physical condition, then a warning may be issued for an operator or for the controller in step 460 .
- vibration data determinative of icing is vibration frequency from one or more vibration sensors dropping below the normal range for the operating conditions or falling to zero.
- vibration data determinative of stall respect is vibration frequency from one or more vibration sensors increasing above the normal range for the operating conditions. If no determination is made of the physical condition, then monitoring of vibration data may continue per step 420 .
- analysis of meteorological data may support the determination that the physical condition exists. If the meteorological data supports the determination that the physical condition exists, then corrective action may be initiated to alleviate the physical condition. Also an alarm may be provided to alert the operator and or control system to the existence of the physical condition.
- An example of one confirmatory meteorological condition with respect to icing is ambient temperature below about 0 degrees centigrade.
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Abstract
Description
Claims (28)
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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US12/342,599 US8186950B2 (en) | 2008-12-23 | 2008-12-23 | Aerodynamic device for detection of wind turbine blade operation |
EP09178449A EP2202408A3 (en) | 2008-12-23 | 2009-12-09 | Aerodynamic device for detection of wind turbine blade operation |
CN200910215670.4A CN101806277B (en) | 2008-12-23 | 2009-12-23 | Aerodynamic device for detection of wind turbine blade operation |
Applications Claiming Priority (1)
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US12/342,599 US8186950B2 (en) | 2008-12-23 | 2008-12-23 | Aerodynamic device for detection of wind turbine blade operation |
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US20100158688A1 US20100158688A1 (en) | 2010-06-24 |
US8186950B2 true US8186950B2 (en) | 2012-05-29 |
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US12/342,599 Expired - Fee Related US8186950B2 (en) | 2008-12-23 | 2008-12-23 | Aerodynamic device for detection of wind turbine blade operation |
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US (1) | US8186950B2 (en) |
EP (1) | EP2202408A3 (en) |
CN (1) | CN101806277B (en) |
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Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040013512A1 (en) | 2000-06-28 | 2004-01-22 | Corten Gustave Paul | Blade of a wind turbine |
US6729846B1 (en) | 1998-12-09 | 2004-05-04 | Aloys Wobben | Reduction in the noise produced by a rotor blade of a wind turbine |
US20050242233A1 (en) | 2002-10-17 | 2005-11-03 | Lorenzo Battisti | Anti-icing system for wind turbines |
US20060034692A1 (en) | 2002-12-20 | 2006-02-16 | Peter Grabau | Method of operating a wind turbine |
US7086834B2 (en) | 2004-06-10 | 2006-08-08 | General Electric Company | Methods and apparatus for rotor blade ice detection |
US20070154310A1 (en) | 2003-05-23 | 2007-07-05 | Aloys Wobben | Method for operating a wind turbine |
US20080078228A1 (en) | 2006-09-29 | 2008-04-03 | Jaco Johannes Nies | Methods and apparatus for evaluating sensors and/or for controlling operation of an apparatus that includes a sensor |
EP1936186A2 (en) | 2006-12-21 | 2008-06-25 | General Electric Company | Wind turbine and method of detecting asymmetric icing on a wind turbine |
EP1944505A1 (en) | 2007-01-12 | 2008-07-16 | Siemens Aktiengesellschaft | Wind turbine rotor blade with vortex generators |
US20080175711A1 (en) | 2005-05-17 | 2008-07-24 | Kristian Balschmidt Godsk | Pitch controlled wind turbine blade, a wind turbine and use thereof |
WO2008113350A2 (en) | 2007-03-20 | 2008-09-25 | Vestas Wind Systems A/S | Wind turbine blades with vortex generators |
US20090169378A1 (en) * | 2007-12-28 | 2009-07-02 | Detlef Menke | Wind turbine, wind turbine controller and method for controlling a wind turbine |
US7708524B2 (en) * | 2006-12-21 | 2010-05-04 | General Electric Company | Method and system for utilizing lateral tower acceleration to detect asymmetric icing |
US20100158687A1 (en) * | 2008-12-19 | 2010-06-24 | Frontier Wind, Llc | Control Modes for Extendable Rotor Blades |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4996880A (en) * | 1989-03-23 | 1991-03-05 | Electric Power Research Institute, Inc. | Operating turbine resonant blade monitor |
DE69901876T2 (en) * | 1998-01-14 | 2003-02-20 | Dancontrol Engineering A/S, Hammel | VIBRATION DETECTING AND CONTROL SYSTEM FOR WIND TURBINE |
DK58998A (en) * | 1998-04-30 | 1999-10-31 | Lm Glasfiber As | Windmill |
DE102005017054B4 (en) * | 2004-07-28 | 2012-01-05 | Igus - Innovative Technische Systeme Gmbh | Method and device for monitoring the condition of rotor blades on wind turbines |
CN101589229B (en) * | 2006-12-08 | 2011-11-16 | 维斯塔斯风力系统有限公司 | A method for damping edgewise oscillations in one or more blades of a wind turbine, an active stall controlled wind turbine and use hereof |
-
2008
- 2008-12-23 US US12/342,599 patent/US8186950B2/en not_active Expired - Fee Related
-
2009
- 2009-12-09 EP EP09178449A patent/EP2202408A3/en not_active Withdrawn
- 2009-12-23 CN CN200910215670.4A patent/CN101806277B/en not_active Expired - Fee Related
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6729846B1 (en) | 1998-12-09 | 2004-05-04 | Aloys Wobben | Reduction in the noise produced by a rotor blade of a wind turbine |
US20040013512A1 (en) | 2000-06-28 | 2004-01-22 | Corten Gustave Paul | Blade of a wind turbine |
US20050242233A1 (en) | 2002-10-17 | 2005-11-03 | Lorenzo Battisti | Anti-icing system for wind turbines |
US20060034692A1 (en) | 2002-12-20 | 2006-02-16 | Peter Grabau | Method of operating a wind turbine |
US20070154310A1 (en) | 2003-05-23 | 2007-07-05 | Aloys Wobben | Method for operating a wind turbine |
US7086834B2 (en) | 2004-06-10 | 2006-08-08 | General Electric Company | Methods and apparatus for rotor blade ice detection |
US20080175711A1 (en) | 2005-05-17 | 2008-07-24 | Kristian Balschmidt Godsk | Pitch controlled wind turbine blade, a wind turbine and use thereof |
US20080078228A1 (en) | 2006-09-29 | 2008-04-03 | Jaco Johannes Nies | Methods and apparatus for evaluating sensors and/or for controlling operation of an apparatus that includes a sensor |
EP1936186A2 (en) | 2006-12-21 | 2008-06-25 | General Electric Company | Wind turbine and method of detecting asymmetric icing on a wind turbine |
US7708524B2 (en) * | 2006-12-21 | 2010-05-04 | General Electric Company | Method and system for utilizing lateral tower acceleration to detect asymmetric icing |
EP1944505A1 (en) | 2007-01-12 | 2008-07-16 | Siemens Aktiengesellschaft | Wind turbine rotor blade with vortex generators |
WO2008113350A2 (en) | 2007-03-20 | 2008-09-25 | Vestas Wind Systems A/S | Wind turbine blades with vortex generators |
US20090169378A1 (en) * | 2007-12-28 | 2009-07-02 | Detlef Menke | Wind turbine, wind turbine controller and method for controlling a wind turbine |
US20100158687A1 (en) * | 2008-12-19 | 2010-06-24 | Frontier Wind, Llc | Control Modes for Extendable Rotor Blades |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130031966A1 (en) * | 2010-04-12 | 2013-02-07 | Per Egedal | Method and system for determining a mass change at a rotating blade of a wind turbine |
US9133828B2 (en) * | 2010-04-12 | 2015-09-15 | Siemens Aktiengesellschaft | Method and system for determining a mass change at a rotating blade of a wind turbine |
US20150107343A1 (en) * | 2013-10-22 | 2015-04-23 | Robert Bosch Gmbh | Method for detecting a state change of an installation |
US10018184B2 (en) * | 2013-10-22 | 2018-07-10 | Weidmüller Monitoring Systems Gmbh | Method for detecting a state change of an installation |
US10062272B2 (en) | 2014-07-23 | 2018-08-28 | Nordex Energy Gmbh | Method for testing a rotor blade ice detection system as well as rotor blade ice detection system and wind turbine for carrying out the method |
WO2020057876A1 (en) * | 2018-09-19 | 2020-03-26 | Siemens Gamesa Renewable Energy Innovation & Technology S.L. | Ice detection method and system for a wind turbine |
CN112673169A (en) * | 2018-09-19 | 2021-04-16 | 西门子歌美飒可再生能源创新与技术有限公司 | Ice detection method and system for wind turbines |
US20230304477A1 (en) * | 2020-08-14 | 2023-09-28 | Siemens Gamesa Renewable Energy A/S | Monitoring of blades in wind turbines |
Also Published As
Publication number | Publication date |
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EP2202408A3 (en) | 2013-01-30 |
US20100158688A1 (en) | 2010-06-24 |
CN101806277A (en) | 2010-08-18 |
CN101806277B (en) | 2014-07-23 |
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